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                <h1 class="post-title" itemprop="name headline"> 小白进阶之Scrapy第六篇Scrapy-Redis详解 </h1>
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                <h1 id="Scrapy-Redis-详解"><a href="#Scrapy-Redis-详解" class="headerlink" title="Scrapy-Redis 详解"></a>Scrapy-Redis 详解</h1>
                <p>通常我们在一个站站点进行采集的时候，如果是小站的话 我们使用scrapy本身就可以满足。 但是如果在面对一些比较大型的站点的时候，单个scrapy就显得力不从心了。 <img src="https://thsheep-wordpress.oss-cn-beijing.aliyuncs.com/6fd6b3659b0e7bc8c3ebcf741e221f3c.jpg" alt=""> 要是我们能够多个Scrapy一起采集该多好啊 人多力量大。 很遗憾Scrapy官方并不支持多个同时采集一个站点，虽然官方给出一个方法： <strong><strong>将一个站点的分割成几部分 交给不同的scrapy去采集</strong></strong> 似乎是个解决办法，但是很麻烦诶！毕竟分割很麻烦的哇 下面就改轮到我们的额主角Scrapy-Redis登场了！ <img src="https://thsheep-wordpress.oss-cn-beijing.aliyuncs.com/9af3afb195a78aa8770204115cc7959d.jpg" alt=""></p>
                <h2 id="什么？？你这么就登场了？还没说为什么呢？"><a href="#什么？？你这么就登场了？还没说为什么呢？" class="headerlink" title="什么？？你这么就登场了？还没说为什么呢？"></a>什么？？你这么就登场了？还没说为什么呢？</h2>
                <p>好吧 为了简单起见 就用官方图来简单说明一下： <img src="https://thsheep-wordpress.oss-cn-beijing.aliyuncs.com/62d1dc3038e8b596d6df6f8e8a28258a.jpg" alt=""> 这张图大家相信大家都很熟悉了。重点看一下SCHEDULER 1. 先来看看官方对于SCHEDULER的定义： <strong><strong>SCHEDULER接受来自Engine的Requests,并将它们放入队列（可以按顺序优先级），以便在之后将其提供给Engine</strong></strong> <a href="https://doc.scrapy.org/en/latest/topics/architecture.html#component-scheduler" target="_blank" rel="noopener">点我看文档</a> 2. 现在我们来看看SCHEDULER都提供了些什么功能： 根据官方文档说明 在我们没有没有指定 SCHEDULER 参数时，默认使用：’scrapy.core.scheduler.Scheduler’ 作为SCHEDULER(调度器) scrapy.core.scheduler.py: </p>
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                      </td>
                      <td class="code">
                        <pre><span class="line"><span class="class"><span class="keyword">class</span> <span class="title">Scheduler</span>(<span class="title">object</span>):</span></span><br><span class="line"></span><br><span class="line">    <span class="function"><span class="keyword">def</span> <span class="title">__init__</span><span class="params">(<span class="keyword">self</span>, dupefilter, jobdir=None, dqclass=None, mqclass=None,</span></span></span><br><span class="line"><span class="function"><span class="params">                 logunser=False, stats=None, pqclass=None)</span></span><span class="symbol">:</span></span><br><span class="line">        <span class="keyword">self</span>.df = dupefilter</span><br><span class="line">        <span class="keyword">self</span>.dqdir = <span class="keyword">self</span>._dqdir(jobdir)</span><br><span class="line">        <span class="keyword">self</span>.pqclass = pqclass</span><br><span class="line">        <span class="keyword">self</span>.dqclass = dqclass</span><br><span class="line">        <span class="keyword">self</span>.mqclass = mqclass</span><br><span class="line">        <span class="keyword">self</span>.logunser = logunser</span><br><span class="line">        <span class="keyword">self</span>.stats = stats</span><br><span class="line">        <span class="comment"># 注意在scrpy中优先注意这个方法，此方法是一个钩子 用于访问当前爬虫的配置</span></span><br><span class="line">    @classmethod</span><br><span class="line">    <span class="function"><span class="keyword">def</span> <span class="title">from_crawler</span><span class="params">(cls, crawler)</span></span><span class="symbol">:</span></span><br><span class="line">        settings = crawler.settings</span><br><span class="line">        <span class="comment"># 获取去重用的类 默认：scrapy.dupefilters.RFPDupeFilter</span></span><br><span class="line">        dupefilter_cls = load_object(settings[<span class="string">'DUPEFILTER_CLASS'</span>])</span><br><span class="line">        <span class="comment"># 对去重类进行配置from_settings 在 scrapy.dupefilters.RFPDupeFilter 43行</span></span><br><span class="line">        <span class="comment"># 这种调用方式对于IDE跳转不是很好  所以需要自己去找</span></span><br><span class="line">        <span class="comment"># <span class="doctag">@classmethod</span></span></span><br><span class="line">        <span class="comment"># def from_settings(cls, settings):</span></span><br><span class="line">        <span class="comment">#     debug = settings.getbool('DUPEFILTER_DEBUG')</span></span><br><span class="line">        <span class="comment">#     return cls(job_dir(settings), debug)</span></span><br><span class="line">        <span class="comment"># 上面就是from_settings方法 其实就是设置工作目录 和是否开启debug</span></span><br><span class="line">        dupefilter = dupefilter_cls.from_settings(settings)</span><br><span class="line">        <span class="comment"># 获取优先级队列 类对象 默认：queuelib.pqueue.PriorityQueue</span></span><br><span class="line">        pqclass = load_object(settings[<span class="string">'SCHEDULER_PRIORITY_QUEUE'</span>])</span><br><span class="line">        <span class="comment"># 获取磁盘队列 类对象（SCHEDULER使用磁盘存储 重启不会丢失）</span></span><br><span class="line">        dqclass = load_object(settings[<span class="string">'SCHEDULER_DISK_QUEUE'</span>])</span><br><span class="line">        <span class="comment"># 获取内存队列 类对象（SCHEDULER使用内存存储 重启会丢失）</span></span><br><span class="line">        mqclass = load_object(settings[<span class="string">'SCHEDULER_MEMORY_QUEUE'</span>])</span><br><span class="line">        <span class="comment"># 是否开启debug</span></span><br><span class="line">        logunser = settings.getbool(<span class="string">'LOG_UNSERIALIZABLE_REQUESTS'</span>, settings.getbool(<span class="string">'SCHEDULER_DEBUG'</span>))</span><br><span class="line">        <span class="comment"># 将这些参数传递给 __init__方法</span></span><br><span class="line">        <span class="keyword">return</span> cls(dupefilter, jobdir=job_dir(settings), logunser=logunser,</span><br><span class="line">                   stats=crawler.stats, pqclass=pqclass, dqclass=dqclass, mqclass=mqclass)</span><br><span class="line"></span><br><span class="line"></span><br><span class="line">    <span class="function"><span class="keyword">def</span> <span class="title">has_pending_requests</span><span class="params">(<span class="keyword">self</span>)</span></span><span class="symbol">:</span></span><br><span class="line">      <span class="string">""</span><span class="string">"检查是否有没处理的请求"</span><span class="string">""</span></span><br><span class="line">        <span class="keyword">return</span> len(<span class="keyword">self</span>) &gt; <span class="number">0</span></span><br><span class="line"></span><br><span class="line">    <span class="function"><span class="keyword">def</span> <span class="title">open</span><span class="params">(<span class="keyword">self</span>, spider)</span></span><span class="symbol">:</span></span><br><span class="line">      <span class="string">""</span><span class="string">"Engine创建完毕之后会调用这个方法"</span><span class="string">""</span></span><br><span class="line">        <span class="keyword">self</span>.spider = spider</span><br><span class="line">        <span class="comment"># 创建一个有优先级的内存队列 实例化对象</span></span><br><span class="line">        <span class="comment"># self.pqclass 默认是：queuelib.pqueue.PriorityQueue</span></span><br><span class="line">        <span class="comment"># self._newmq 会返回一个内存队列的 实例化对象 在110  111 行</span></span><br><span class="line">        <span class="keyword">self</span>.mqs = <span class="keyword">self</span>.pqclass(<span class="keyword">self</span>._newmq)</span><br><span class="line">        <span class="comment"># 如果self.dqdir 有设置 就创建一个磁盘队列 否则self.dqs 为空</span></span><br><span class="line">        <span class="keyword">self</span>.dqs = <span class="keyword">self</span>._dq() <span class="keyword">if</span> <span class="keyword">self</span>.dqdir <span class="keyword">else</span> None</span><br><span class="line">        <span class="comment"># 获得一个去重实例对象 open 方法是从BaseDupeFilter继承的</span></span><br><span class="line">        <span class="comment"># 现在我们可以用self.df来去重啦</span></span><br><span class="line">        <span class="keyword">return</span> <span class="keyword">self</span>.df.open()</span><br><span class="line"></span><br><span class="line">    <span class="function"><span class="keyword">def</span> <span class="title">close</span><span class="params">(<span class="keyword">self</span>, reason)</span></span><span class="symbol">:</span></span><br><span class="line">      <span class="string">""</span><span class="string">"当然Engine关闭时"</span><span class="string">""</span></span><br><span class="line">          <span class="comment"># 如果有磁盘队列 则对其进行dump后保存到active.json文件中</span></span><br><span class="line">        <span class="keyword">if</span> <span class="keyword">self</span>.<span class="symbol">dqs:</span></span><br><span class="line">            prios = <span class="keyword">self</span>.dqs.close()</span><br><span class="line">            with open(join(<span class="keyword">self</span>.dqdir, <span class="string">'active.json'</span>), <span class="string">'w'</span>) as <span class="symbol">f:</span></span><br><span class="line">                json.dump(prios, f)</span><br><span class="line">        <span class="comment"># 然后关闭去重</span></span><br><span class="line">        <span class="keyword">return</span> <span class="keyword">self</span>.df.close(reason)</span><br><span class="line"></span><br><span class="line">    <span class="function"><span class="keyword">def</span> <span class="title">enqueue_request</span><span class="params">(<span class="keyword">self</span>, request)</span></span><span class="symbol">:</span></span><br><span class="line">      <span class="string">""</span><span class="string">"添加一个Requests进调度队列"</span><span class="string">""</span></span><br><span class="line">          <span class="comment"># self.df.request_seen是检查这个Request是否已经请求过了 如果有会返回True</span></span><br><span class="line">        <span class="keyword">if</span> <span class="keyword">not</span> request.dont_filter <span class="keyword">and</span> <span class="keyword">self</span>.df.request_seen(request)<span class="symbol">:</span></span><br><span class="line">              <span class="comment"># 如果Request的dont_filter属性没有设置（默认为False）和 已经存在则去重</span></span><br><span class="line">            <span class="comment"># 不push进队列</span></span><br><span class="line">            <span class="keyword">self</span>.df.log(request, <span class="keyword">self</span>.spider)</span><br><span class="line">            <span class="keyword">return</span> False</span><br><span class="line">        <span class="comment"># 先尝试将Request push进磁盘队列</span></span><br><span class="line">        dqok = <span class="keyword">self</span>._dqpush(request)</span><br><span class="line">        <span class="keyword">if</span> <span class="symbol">dqok:</span></span><br><span class="line">              <span class="comment"># 如果成功 则在记录一次状态</span></span><br><span class="line">            <span class="keyword">self</span>.stats.inc_value(<span class="string">'scheduler/enqueued/disk'</span>, spider=<span class="keyword">self</span>.spider)</span><br><span class="line">        <span class="symbol">else:</span></span><br><span class="line">              <span class="comment"># 不能添加进磁盘队列则会添加进内存队列</span></span><br><span class="line">            <span class="keyword">self</span>._mqpush(request)</span><br><span class="line">            <span class="keyword">self</span>.stats.inc_value(<span class="string">'scheduler/enqueued/memory'</span>, spider=<span class="keyword">self</span>.spider)</span><br><span class="line">        <span class="keyword">self</span>.stats.inc_value(<span class="string">'scheduler/enqueued'</span>, spider=<span class="keyword">self</span>.spider)</span><br><span class="line">        <span class="keyword">return</span> True</span><br><span class="line"></span><br><span class="line">    <span class="function"><span class="keyword">def</span> <span class="title">next_request</span><span class="params">(<span class="keyword">self</span>)</span></span><span class="symbol">:</span></span><br><span class="line">      <span class="string">""</span><span class="string">"从队列中获取一个Request"</span><span class="string">""</span></span><br><span class="line">          <span class="comment"># 优先从内存队列中获取</span></span><br><span class="line">        request = <span class="keyword">self</span>.mqs.pop()</span><br><span class="line">        <span class="keyword">if</span> <span class="symbol">request:</span></span><br><span class="line">            <span class="keyword">self</span>.stats.inc_value(<span class="string">'scheduler/dequeued/memory'</span>, spider=<span class="keyword">self</span>.spider)</span><br><span class="line">        <span class="symbol">else:</span></span><br><span class="line">              <span class="comment"># 不能获取的时候从磁盘队列队里获取</span></span><br><span class="line">            request = <span class="keyword">self</span>._dqpop()</span><br><span class="line">            <span class="keyword">if</span> <span class="symbol">request:</span></span><br><span class="line">                <span class="keyword">self</span>.stats.inc_value(<span class="string">'scheduler/dequeued/disk'</span>, spider=<span class="keyword">self</span>.spider)</span><br><span class="line">        <span class="keyword">if</span> <span class="symbol">request:</span></span><br><span class="line">            <span class="keyword">self</span>.stats.inc_value(<span class="string">'scheduler/dequeued'</span>, spider=<span class="keyword">self</span>.spider)</span><br><span class="line">        <span class="comment"># 将获取的到Request返回给Engine</span></span><br><span class="line">        <span class="keyword">return</span> request</span><br><span class="line"></span><br><span class="line">    <span class="function"><span class="keyword">def</span> <span class="title">__len__</span><span class="params">(<span class="keyword">self</span>)</span></span><span class="symbol">:</span></span><br><span class="line">        <span class="keyword">return</span> len(<span class="keyword">self</span>.dqs) + len(<span class="keyword">self</span>.mqs) <span class="keyword">if</span> <span class="keyword">self</span>.dqs <span class="keyword">else</span> len(<span class="keyword">self</span>.mqs)</span><br><span class="line"></span><br><span class="line">    <span class="function"><span class="keyword">def</span> <span class="title">_dqpush</span><span class="params">(<span class="keyword">self</span>, request)</span></span><span class="symbol">:</span></span><br><span class="line">        <span class="keyword">if</span> <span class="keyword">self</span>.dqs is <span class="symbol">None:</span></span><br><span class="line">            <span class="keyword">return</span></span><br><span class="line">        <span class="symbol">try:</span></span><br><span class="line">            reqd = request_to_dict(request, <span class="keyword">self</span>.spider)</span><br><span class="line">            <span class="keyword">self</span>.dqs.push(reqd, -request.priority)</span><br><span class="line">        except ValueError as <span class="symbol">e:</span>  <span class="comment"># non serializable request</span></span><br><span class="line">            <span class="keyword">if</span> <span class="keyword">self</span>.<span class="symbol">logunser:</span></span><br><span class="line">                msg = (<span class="string">"Unable to serialize request: %(request)s - reason:"</span></span><br><span class="line">                       <span class="string">" %(reason)s - no more unserializable requests will be"</span></span><br><span class="line">                       <span class="string">" logged (stats being collected)"</span>)</span><br><span class="line">                logger.warning(msg, &#123;<span class="string">'request'</span>: request, <span class="string">'reason'</span>: e&#125;,</span><br><span class="line">                               exc_info=True, extra=&#123;<span class="string">'spider'</span>: <span class="keyword">self</span>.spider&#125;)</span><br><span class="line">                <span class="keyword">self</span>.logunser = False</span><br><span class="line">            <span class="keyword">self</span>.stats.inc_value(<span class="string">'scheduler/unserializable'</span>,</span><br><span class="line">                                 spider=<span class="keyword">self</span>.spider)</span><br><span class="line">            <span class="keyword">return</span></span><br><span class="line">        <span class="symbol">else:</span></span><br><span class="line">            <span class="keyword">return</span> True</span><br><span class="line"></span><br><span class="line">    <span class="function"><span class="keyword">def</span> <span class="title">_mqpush</span><span class="params">(<span class="keyword">self</span>, request)</span></span><span class="symbol">:</span></span><br><span class="line">        <span class="keyword">self</span>.mqs.push(request, -request.priority)</span><br><span class="line"></span><br><span class="line">    <span class="function"><span class="keyword">def</span> <span class="title">_dqpop</span><span class="params">(<span class="keyword">self</span>)</span></span><span class="symbol">:</span></span><br><span class="line">        <span class="keyword">if</span> <span class="keyword">self</span>.<span class="symbol">dqs:</span></span><br><span class="line">            d = <span class="keyword">self</span>.dqs.pop()</span><br><span class="line">            <span class="keyword">if</span> <span class="symbol">d:</span></span><br><span class="line">                <span class="keyword">return</span> request_from_dict(d, <span class="keyword">self</span>.spider)</span><br><span class="line"></span><br><span class="line">    <span class="function"><span class="keyword">def</span> <span class="title">_newmq</span><span class="params">(<span class="keyword">self</span>, priority)</span></span><span class="symbol">:</span></span><br><span class="line">        <span class="keyword">return</span> <span class="keyword">self</span>.mqclass()</span><br><span class="line"></span><br><span class="line">    <span class="function"><span class="keyword">def</span> <span class="title">_newdq</span><span class="params">(<span class="keyword">self</span>, priority)</span></span><span class="symbol">:</span></span><br><span class="line">        <span class="keyword">return</span> <span class="keyword">self</span>.dqclass(join(<span class="keyword">self</span>.dqdir, <span class="string">'p%s'</span> % priority))</span><br><span class="line"></span><br><span class="line">    <span class="function"><span class="keyword">def</span> <span class="title">_dq</span><span class="params">(<span class="keyword">self</span>)</span></span><span class="symbol">:</span></span><br><span class="line">        activef = join(<span class="keyword">self</span>.dqdir, <span class="string">'active.json'</span>)</span><br><span class="line">        <span class="keyword">if</span> exists(activef)<span class="symbol">:</span></span><br><span class="line">            with open(activef) as <span class="symbol">f:</span></span><br><span class="line">                prios = json.load(f)</span><br><span class="line">        <span class="symbol">else:</span></span><br><span class="line">            prios = ()</span><br><span class="line">        q = <span class="keyword">self</span>.pqclass(<span class="keyword">self</span>._newdq, startprios=prios)</span><br><span class="line">        <span class="keyword">if</span> <span class="symbol">q:</span></span><br><span class="line">            logger.info(<span class="string">"Resuming crawl (%(queuesize)d requests scheduled)"</span>,</span><br><span class="line">                        &#123;<span class="string">'queuesize'</span>: len(q)&#125;, extra=&#123;<span class="string">'spider'</span>: <span class="keyword">self</span>.spider&#125;)</span><br><span class="line">        <span class="keyword">return</span> q</span><br><span class="line"></span><br><span class="line">    <span class="function"><span class="keyword">def</span> <span class="title">_dqdir</span><span class="params">(<span class="keyword">self</span>, jobdir)</span></span><span class="symbol">:</span></span><br><span class="line">        <span class="keyword">if</span> <span class="symbol">jobdir:</span></span><br><span class="line">            dqdir = join(jobdir, <span class="string">'requests.queue'</span>)</span><br><span class="line">            <span class="keyword">if</span> <span class="keyword">not</span> exists(dqdir)<span class="symbol">:</span></span><br><span class="line">                os.makedirs(dqdir)</span><br><span class="line">            <span class="keyword">return</span> dqdir</span><br></pre>
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                  </table>
                </figure>
                <p> 只挑了一些重点的写了一些注释剩下大家自己领会(才不是我懒哦 ) 从上面的代码 我们可以很清楚的知道 SCHEDULER的主要是完成了 push Request pop Request 和 去重的操作。 而且queue 操作是在内存队列中完成的。 大家看queuelib.queue就会发现基于内存的（deque） 那么去重呢？</p>
                <figure class="highlight ruby">
                  <table>
                    <tr>
                      <td class="gutter">
                        <pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br><span class="line">25</span><br><span class="line">26</span><br><span class="line">27</span><br><span class="line">28</span><br><span class="line">29</span><br><span class="line">30</span><br><span class="line">31</span><br></pre>
                      </td>
                      <td class="code">
                        <pre><span class="line"><span class="class"><span class="keyword">class</span> <span class="title">RFPDupeFilter</span>(<span class="title">BaseDupeFilter</span>):</span></span><br><span class="line">    <span class="string">""</span><span class="string">"Request Fingerprint duplicates filter"</span><span class="string">""</span></span><br><span class="line"></span><br><span class="line">    <span class="function"><span class="keyword">def</span> <span class="title">__init__</span><span class="params">(<span class="keyword">self</span>, path=None, debug=False)</span></span><span class="symbol">:</span></span><br><span class="line">        <span class="keyword">self</span>.file = None</span><br><span class="line">        <span class="keyword">self</span>.fingerprints = set()</span><br><span class="line">        <span class="keyword">self</span>.logdupes = True</span><br><span class="line">        <span class="keyword">self</span>.debug = debug</span><br><span class="line">        <span class="keyword">self</span>.logger = logging.getLogger(__name_<span class="number">_</span>)</span><br><span class="line">        <span class="keyword">if</span> <span class="symbol">path:</span></span><br><span class="line">              <span class="comment"># 此处可以看到去重其实打开了一个名叫 requests.seen的文件</span></span><br><span class="line">            <span class="comment"># 如果是使用的磁盘的话</span></span><br><span class="line">            <span class="keyword">self</span>.file = open(os.path.join(path, <span class="string">'requests.seen'</span>), <span class="string">'a+'</span>)</span><br><span class="line">            <span class="keyword">self</span>.file.seek(<span class="number">0</span>)</span><br><span class="line">            <span class="keyword">self</span>.fingerprints.update(x.rstrip() <span class="keyword">for</span> x <span class="keyword">in</span> <span class="keyword">self</span>.file)</span><br><span class="line"></span><br><span class="line">    @classmethod</span><br><span class="line">    <span class="function"><span class="keyword">def</span> <span class="title">from_settings</span><span class="params">(cls, settings)</span></span><span class="symbol">:</span></span><br><span class="line">        debug = settings.getbool(<span class="string">'DUPEFILTER_DEBUG'</span>)</span><br><span class="line">        <span class="keyword">return</span> cls(job_dir(settings), debug)</span><br><span class="line"></span><br><span class="line">    <span class="function"><span class="keyword">def</span> <span class="title">request_seen</span><span class="params">(<span class="keyword">self</span>, request)</span></span><span class="symbol">:</span></span><br><span class="line">        fp = <span class="keyword">self</span>.request_fingerprint(request)</span><br><span class="line">        <span class="keyword">if</span> fp <span class="keyword">in</span> <span class="keyword">self</span>.<span class="symbol">fingerprints:</span></span><br><span class="line">              <span class="comment"># 判断我们的请求是否在这个在集合中</span></span><br><span class="line">            <span class="keyword">return</span> True</span><br><span class="line">        <span class="comment"># 没有在集合就添加进去</span></span><br><span class="line">        <span class="keyword">self</span>.fingerprints.add(fp)</span><br><span class="line">        <span class="comment"># 如果用的磁盘队列就写进去记录一下</span></span><br><span class="line">        <span class="keyword">if</span> <span class="keyword">self</span>.<span class="symbol">file:</span></span><br><span class="line">            <span class="keyword">self</span>.file.write(fp + os.linesep)</span><br></pre>
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                </figure>
                <pre><code>  按照正常流程就是大家都会进行重复的采集；我们都知道进程之间内存中的数据不可共享的，那么你在开启多个Scrapy的时候，它们相互之间并不知道对方采集了些什么那些没有没采集。那就大家伙儿自己玩自己的了。完全没没有效率的提升啊！ ![](https://thsheep-wordpress.oss-cn-beijing.aliyuncs.com/7015cb643d0c05854dab5b8457f076af.jpg) 怎么解决呢？ 这就是我们Scrapy-Redis解决的问题了，不能协作不就是因为Request 和 去重这两个 不能共享吗？ 那我把这两个独立出来好了。 将Scrapy中的SCHEDULER组件独立放到大家都能访问的地方不就OK啦！加上scrapy-redis后流程图就应该变成这样了? ![](https://thsheep-wordpress.oss-cn-beijing.aliyuncs.com/0a94645a8f10707fe80610b5ebeb945e.jpg) So············· 这样是不是看起来就清楚多了？？？ 下面我们来看看Scrapy-Redis是怎么处理的? scrapy_redis.scheduler.py：
</code></pre>
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                      </td>
                      <td class="code">
                        <pre><span class="line">class Scheduler(object):</span><br><span class="line">    <span class="string">""</span><span class="string">"Redis-based scheduler</span></span><br><span class="line"><span class="string"></span></span><br><span class="line"><span class="string">    Settings</span></span><br><span class="line"><span class="string">    --------</span></span><br><span class="line"><span class="string">    SCHEDULER_PERSIST : bool (default: False)</span></span><br><span class="line"><span class="string">        Whether to persist or clear redis queue.</span></span><br><span class="line"><span class="string">    SCHEDULER_FLUSH_ON_START : bool (default: False)</span></span><br><span class="line"><span class="string">        Whether to flush redis queue on start.</span></span><br><span class="line"><span class="string">    SCHEDULER_IDLE_BEFORE_CLOSE : int (default: 0)</span></span><br><span class="line"><span class="string">        How many seconds to wait before closing if no message is received.</span></span><br><span class="line"><span class="string">    SCHEDULER_QUEUE_KEY : str</span></span><br><span class="line"><span class="string">        Scheduler redis key.</span></span><br><span class="line"><span class="string">    SCHEDULER_QUEUE_CLASS : str</span></span><br><span class="line"><span class="string">        Scheduler queue class.</span></span><br><span class="line"><span class="string">    SCHEDULER_DUPEFILTER_KEY : str</span></span><br><span class="line"><span class="string">        Scheduler dupefilter redis key.</span></span><br><span class="line"><span class="string">    SCHEDULER_DUPEFILTER_CLASS : str</span></span><br><span class="line"><span class="string">        Scheduler dupefilter class.</span></span><br><span class="line"><span class="string">    SCHEDULER_SERIALIZER : str</span></span><br><span class="line"><span class="string">        Scheduler serializer.</span></span><br><span class="line"><span class="string"></span></span><br><span class="line"><span class="string">    "</span><span class="string">""</span></span><br><span class="line"></span><br><span class="line">    def __init__(self, server,</span><br><span class="line">                 <span class="attribute">persist</span>=<span class="literal">False</span>,</span><br><span class="line">                 <span class="attribute">flush_on_start</span>=<span class="literal">False</span>,</span><br><span class="line">                 <span class="attribute">queue_key</span>=defaults.SCHEDULER_QUEUE_KEY,</span><br><span class="line">                 <span class="attribute">queue_cls</span>=defaults.SCHEDULER_QUEUE_CLASS,</span><br><span class="line">                 <span class="attribute">dupefilter_key</span>=defaults.SCHEDULER_DUPEFILTER_KEY,</span><br><span class="line">                 <span class="attribute">dupefilter_cls</span>=defaults.SCHEDULER_DUPEFILTER_CLASS,</span><br><span class="line">                 <span class="attribute">idle_before_close</span>=0,</span><br><span class="line">                 <span class="attribute">serializer</span>=None):</span><br><span class="line">        <span class="string">""</span><span class="string">"Initialize scheduler.</span></span><br><span class="line"><span class="string"></span></span><br><span class="line"><span class="string">        Parameters</span></span><br><span class="line"><span class="string">        ----------</span></span><br><span class="line"><span class="string">        server : Redis</span></span><br><span class="line"><span class="string">            这是Redis实例</span></span><br><span class="line"><span class="string">        persist : bool</span></span><br><span class="line"><span class="string">            是否在关闭时清空Requests.默认值是False。</span></span><br><span class="line"><span class="string">        flush_on_start : bool</span></span><br><span class="line"><span class="string">            是否在启动时清空Requests。 默认值是False。</span></span><br><span class="line"><span class="string">        queue_key : str</span></span><br><span class="line"><span class="string">            Request队列的Key名字</span></span><br><span class="line"><span class="string">        queue_cls : str</span></span><br><span class="line"><span class="string">            队列的可导入路径（就是使用什么队列）</span></span><br><span class="line"><span class="string">        dupefilter_key : str</span></span><br><span class="line"><span class="string">            去重队列的Key</span></span><br><span class="line"><span class="string">        dupefilter_cls : str</span></span><br><span class="line"><span class="string">            去重类的可导入路径。</span></span><br><span class="line"><span class="string">        idle_before_close : int</span></span><br><span class="line"><span class="string">            等待多久关闭</span></span><br><span class="line"><span class="string"></span></span><br><span class="line"><span class="string">        "</span><span class="string">""</span></span><br><span class="line">        <span class="keyword">if</span> idle_before_close &lt; 0:</span><br><span class="line">            raise TypeError(<span class="string">"idle_before_close cannot be negative"</span>)</span><br><span class="line"></span><br><span class="line">        self.server = server</span><br><span class="line">        self.persist = persist</span><br><span class="line">        self.flush_on_start = flush_on_start</span><br><span class="line">        self.queue_key = queue_key</span><br><span class="line">        self.queue_cls = queue_cls</span><br><span class="line">        self.dupefilter_cls = dupefilter_cls</span><br><span class="line">        self.dupefilter_key = dupefilter_key</span><br><span class="line">        self.idle_before_close = idle_before_close</span><br><span class="line">        self.serializer = serializer</span><br><span class="line">        self.stats = None</span><br><span class="line"></span><br><span class="line">    def __len__(self):</span><br><span class="line">        return len(self.queue)</span><br><span class="line"></span><br><span class="line">    @classmethod</span><br><span class="line">    def from_settings(cls, settings):</span><br><span class="line">        kwargs = &#123;</span><br><span class="line">            <span class="string">'persist'</span>: settings.getbool(<span class="string">'SCHEDULER_PERSIST'</span>),</span><br><span class="line">            <span class="string">'flush_on_start'</span>: settings.getbool(<span class="string">'SCHEDULER_FLUSH_ON_START'</span>),</span><br><span class="line">            <span class="string">'idle_before_close'</span>: settings.getint(<span class="string">'SCHEDULER_IDLE_BEFORE_CLOSE'</span>),</span><br><span class="line">        &#125;</span><br><span class="line"></span><br><span class="line">        # <span class="keyword">If</span> these values are missing, it means we want <span class="keyword">to</span> use the defaults.</span><br><span class="line">        optional = &#123;</span><br><span class="line">            # TODO: Use custom prefixes <span class="keyword">for</span> this<span class="built_in"> settings </span><span class="keyword">to</span><span class="built_in"> note </span>that are</span><br><span class="line">            # specific <span class="keyword">to</span> scrapy-redis.</span><br><span class="line">            <span class="string">'queue_key'</span>: <span class="string">'SCHEDULER_QUEUE_KEY'</span>,</span><br><span class="line">            <span class="string">'queue_cls'</span>: <span class="string">'SCHEDULER_QUEUE_CLASS'</span>,</span><br><span class="line">            <span class="string">'dupefilter_key'</span>: <span class="string">'SCHEDULER_DUPEFILTER_KEY'</span>,</span><br><span class="line">            # We use the<span class="built_in"> default </span>setting name <span class="keyword">to</span> keep compatibility.</span><br><span class="line">            <span class="string">'dupefilter_cls'</span>: <span class="string">'DUPEFILTER_CLASS'</span>,</span><br><span class="line">            <span class="string">'serializer'</span>: <span class="string">'SCHEDULER_SERIALIZER'</span>,</span><br><span class="line">        &#125;</span><br><span class="line">        # 从setting中获取配置组装成dict(具体获取那些配置是optional字典中key)</span><br><span class="line">        <span class="keyword">for</span> name, setting_name <span class="keyword">in</span> optional.items():</span><br><span class="line">            val = settings.<span class="builtin-name">get</span>(setting_name)</span><br><span class="line">            <span class="keyword">if</span> val:</span><br><span class="line">                kwargs[name] = val</span><br><span class="line"></span><br><span class="line">        # Support serializer as a path <span class="keyword">to</span> a module.</span><br><span class="line">        <span class="keyword">if</span> isinstance(kwargs.<span class="builtin-name">get</span>(<span class="string">'serializer'</span>), six.string_types):</span><br><span class="line">            kwargs[<span class="string">'serializer'</span>] = importlib.import_module(kwargs[<span class="string">'serializer'</span>])</span><br><span class="line">                # 或得一个Redis连接</span><br><span class="line">       <span class="built_in"> server </span>= connection.from_settings(settings)</span><br><span class="line">        # Ensure the<span class="built_in"> connection </span>is working.</span><br><span class="line">        server.ping()</span><br><span class="line"></span><br><span class="line">        return cls(<span class="attribute">server</span>=server, **kwargs)</span><br><span class="line"></span><br><span class="line">    @classmethod</span><br><span class="line">    def from_crawler(cls, crawler):</span><br><span class="line">       <span class="built_in"> instance </span>= cls.from_settings(crawler.settings)</span><br><span class="line">        # FIXME: <span class="keyword">for</span> now, stats are only supported <span class="keyword">from</span> this constructor</span><br><span class="line">        instance.stats = crawler.stats</span><br><span class="line">        return instance</span><br><span class="line"></span><br><span class="line">    def open(self, spider):</span><br><span class="line">        self.spider = spider</span><br><span class="line"></span><br><span class="line">        try:</span><br><span class="line">              # 根据self.queue_cls这个可以导入的类 实例化一个队列</span><br><span class="line">            self.queue = load_object(self.queue_cls)(</span><br><span class="line">                <span class="attribute">server</span>=self.server,</span><br><span class="line">                <span class="attribute">spider</span>=spider,</span><br><span class="line">                <span class="attribute">key</span>=self.queue_key % &#123;<span class="string">'spider'</span>: spider.name&#125;,</span><br><span class="line">                <span class="attribute">serializer</span>=self.serializer,</span><br><span class="line">            )</span><br><span class="line">        except TypeError as e:</span><br><span class="line">            raise ValueError(<span class="string">"Failed to instantiate queue class '%s': %s"</span>,</span><br><span class="line">                             self.queue_cls, e)</span><br><span class="line"></span><br><span class="line">        try:</span><br><span class="line">              # 根据self.dupefilter_cls这个可以导入的类 实例一个去重集合</span><br><span class="line">            # 默认是集合 可以实现自己的去重方式 比如 bool 去重</span><br><span class="line">            self.df = load_object(self.dupefilter_cls)(</span><br><span class="line">                <span class="attribute">server</span>=self.server,</span><br><span class="line">                <span class="attribute">key</span>=self.dupefilter_key % &#123;<span class="string">'spider'</span>: spider.name&#125;,</span><br><span class="line">                <span class="attribute">debug</span>=spider.settings.getbool('DUPEFILTER_DEBUG'),</span><br><span class="line">            )</span><br><span class="line">        except TypeError as e:</span><br><span class="line">            raise ValueError(<span class="string">"Failed to instantiate dupefilter class '%s': %s"</span>,</span><br><span class="line">                             self.dupefilter_cls, e)</span><br><span class="line"></span><br><span class="line">        <span class="keyword">if</span> self.flush_on_start:</span><br><span class="line">            self.flush()</span><br><span class="line">        # notice <span class="keyword">if</span> there are requests already <span class="keyword">in</span> the<span class="built_in"> queue </span><span class="keyword">to</span> resume the crawl</span><br><span class="line">        <span class="keyword">if</span> len(self.queue):</span><br><span class="line">            spider.log(<span class="string">"Resuming crawl (%d requests scheduled)"</span> % len(self.queue))</span><br><span class="line"></span><br><span class="line">    def close(self, reason):</span><br><span class="line">        <span class="keyword">if</span> <span class="keyword">not</span> self.persist:</span><br><span class="line">            self.flush()</span><br><span class="line"></span><br><span class="line">    def flush(self):</span><br><span class="line">        self.df.clear()</span><br><span class="line">        self.queue.clear()</span><br><span class="line"></span><br><span class="line">    def enqueue_request(self, request):</span><br><span class="line">      <span class="string">""</span><span class="string">"这个和Scrapy本身的一样"</span><span class="string">""</span></span><br><span class="line">        <span class="keyword">if</span> <span class="keyword">not</span> request.dont_filter <span class="keyword">and</span> self.df.request_seen(request):</span><br><span class="line">            self.df.log(request, self.spider)</span><br><span class="line">            return <span class="literal">False</span></span><br><span class="line">        <span class="keyword">if</span> self.stats:</span><br><span class="line">            self.stats.inc_value(<span class="string">'scheduler/enqueued/redis'</span>, <span class="attribute">spider</span>=self.spider)</span><br><span class="line">        # 向队列里面添加一个Request</span><br><span class="line">        self.queue.push(request)</span><br><span class="line">        return <span class="literal">True</span></span><br><span class="line"></span><br><span class="line">    def next_request(self):</span><br><span class="line">      <span class="string">""</span><span class="string">"获取一个Request"</span><span class="string">""</span></span><br><span class="line">        block_pop_timeout = self.idle_before_close</span><br><span class="line">        # block_pop_timeout 是一个等待参数 队列没有东西会等待这个时间  超时就会关闭</span><br><span class="line">        request = self.queue.pop(block_pop_timeout)</span><br><span class="line">        <span class="keyword">if</span> request <span class="keyword">and</span> self.stats:</span><br><span class="line">            self.stats.inc_value(<span class="string">'scheduler/dequeued/redis'</span>, <span class="attribute">spider</span>=self.spider)</span><br><span class="line">        return request</span><br><span class="line"></span><br><span class="line">    def has_pending_requests(self):</span><br><span class="line">        return len(self) &gt; 0</span><br></pre>
                      </td>
                    </tr>
                  </table>
                </figure>
                <p> 来先来看看 以上就是Scrapy-Redis中的SCHEDULER模块。下面我们来看看queue和本身的什么不同： scrapy_redis.queue.py 以最常用的优先级队列 PriorityQueue 举例： </p>
                <figure class="highlight python">
                  <table>
                    <tr>
                      <td class="gutter">
                        <pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br><span class="line">25</span><br><span class="line">26</span><br><span class="line">27</span><br><span class="line">28</span><br><span class="line">29</span><br><span class="line">30</span><br><span class="line">31</span><br><span class="line">32</span><br><span class="line">33</span><br><span class="line">34</span><br><span class="line">35</span><br><span class="line">36</span><br><span class="line">37</span><br><span class="line">38</span><br><span class="line">39</span><br><span class="line">40</span><br><span class="line">41</span><br><span class="line">42</span><br><span class="line">43</span><br><span class="line">44</span><br><span class="line">45</span><br><span class="line">46</span><br><span class="line">47</span><br><span class="line">48</span><br><span class="line">49</span><br><span class="line">50</span><br><span class="line">51</span><br><span class="line">52</span><br><span class="line">53</span><br><span class="line">54</span><br><span class="line">55</span><br><span class="line">56</span><br><span class="line">57</span><br><span class="line">58</span><br><span class="line">59</span><br><span class="line">60</span><br><span class="line">61</span><br></pre>
                      </td>
                      <td class="code">
                        <pre><span class="line"><span class="class"><span class="keyword">class</span> <span class="title">PriorityQueue</span><span class="params">(Base)</span>:</span></span><br><span class="line">    <span class="string">"""Per-spider priority queue abstraction using redis' sorted set"""</span></span><br><span class="line">        <span class="string">"""其实就是使用Redis的有序集合 来对Request进行排序，这样就可以优先级高的在有序集合的顶层 我们只需要"""</span></span><br><span class="line">    <span class="string">"""从上往下依次获取Request即可"""</span></span><br><span class="line">    <span class="function"><span class="keyword">def</span> <span class="title">__len__</span><span class="params">(self)</span>:</span></span><br><span class="line">        <span class="string">"""Return the length of the queue"""</span></span><br><span class="line">        <span class="keyword">return</span> self.server.zcard(self.key)</span><br><span class="line"></span><br><span class="line">    <span class="function"><span class="keyword">def</span> <span class="title">push</span><span class="params">(self, request)</span>:</span></span><br><span class="line">        <span class="string">"""Push a request"""</span></span><br><span class="line">        <span class="string">"""添加一个Request进队列"""</span></span><br><span class="line">        <span class="comment"># self._encode_request 将Request请求进行序列化</span></span><br><span class="line">        data = self._encode_request(request)</span><br><span class="line">        <span class="string">"""</span></span><br><span class="line"><span class="string">        d = &#123;</span></span><br><span class="line"><span class="string">        'url': to_unicode(request.url),  # urls should be safe (safe_string_url)</span></span><br><span class="line"><span class="string">        'callback': cb,</span></span><br><span class="line"><span class="string">        'errback': eb,</span></span><br><span class="line"><span class="string">        'method': request.method,</span></span><br><span class="line"><span class="string">        'headers': dict(request.headers),</span></span><br><span class="line"><span class="string">        'body': request.body,</span></span><br><span class="line"><span class="string">        'cookies': request.cookies,</span></span><br><span class="line"><span class="string">        'meta': request.meta,</span></span><br><span class="line"><span class="string">        '_encoding': request._encoding,</span></span><br><span class="line"><span class="string">        'priority': request.priority,</span></span><br><span class="line"><span class="string">        'dont_filter': request.dont_filter,</span></span><br><span class="line"><span class="string">        'flags': request.flags,</span></span><br><span class="line"><span class="string">        '_class': request.__module__ + '.' + request.__class__.__name__</span></span><br><span class="line"><span class="string">            &#125;</span></span><br><span class="line"><span class="string"></span></span><br><span class="line"><span class="string">        data就是上面这个字典的序列化</span></span><br><span class="line"><span class="string">        在Scrapy.utils.reqser.py 中的request_to_dict方法中处理</span></span><br><span class="line"><span class="string">        """</span></span><br><span class="line"></span><br><span class="line">        <span class="comment"># 在Redis有序集合中数值越小优先级越高(就是会被放在顶层)所以这个位置是取得 相反数</span></span><br><span class="line">        score = -request.priority</span><br><span class="line">        <span class="comment"># We don't use zadd method as the order of arguments change depending on</span></span><br><span class="line">        <span class="comment"># whether the class is Redis or StrictRedis, and the option of using</span></span><br><span class="line">        <span class="comment"># kwargs only accepts strings, not bytes.</span></span><br><span class="line">        <span class="comment"># ZADD 是添加进有序集合</span></span><br><span class="line">        self.server.execute_command(<span class="string">'ZADD'</span>, self.key, score, data)</span><br><span class="line"></span><br><span class="line">    <span class="function"><span class="keyword">def</span> <span class="title">pop</span><span class="params">(self, timeout=<span class="number">0</span>)</span>:</span></span><br><span class="line">        <span class="string">"""</span></span><br><span class="line"><span class="string">        Pop a request</span></span><br><span class="line"><span class="string">        timeout not support in this queue class</span></span><br><span class="line"><span class="string">        有序集合不支持超时所以就木有使用timeout了  这个timeout就是挂羊头卖狗肉</span></span><br><span class="line"><span class="string">        """</span></span><br><span class="line">        <span class="string">"""从有序集合中取出一个Request"""</span></span><br><span class="line">        <span class="comment"># use atomic range/remove using multi/exec</span></span><br><span class="line">        <span class="string">"""使用multi的原因是为了将获取Request和删除Request合并成一个操作(原子性的)在获取到一个元素之后 删除它，因为有序集合 不像list 有pop 这种方式啊"""</span></span><br><span class="line">        pipe = self.server.pipeline()</span><br><span class="line">        pipe.multi()</span><br><span class="line">        <span class="comment"># 取出 顶层第一个</span></span><br><span class="line">        <span class="comment"># zrange :返回有序集 key 中，指定区间内的成员。0,0 就是第一个了</span></span><br><span class="line">        <span class="comment"># zremrangebyrank：移除有序集 key 中，指定排名(rank)区间内的所有成员 0，0也就是第一个了</span></span><br><span class="line">        <span class="comment"># 更多请参考Redis官方文档</span></span><br><span class="line">        pipe.zrange(self.key, <span class="number">0</span>, <span class="number">0</span>).zremrangebyrank(self.key, <span class="number">0</span>, <span class="number">0</span>)</span><br><span class="line">        results, count = pipe.execute()</span><br><span class="line">        <span class="keyword">if</span> results:</span><br><span class="line">            <span class="keyword">return</span> self._decode_request(results[<span class="number">0</span>])</span><br></pre>
                      </td>
                    </tr>
                  </table>
                </figure>
                <p> 以上就是SCHEDULER在处理Request的时候做的操作了。 是时候来看看SCHEDULER是怎么处理去重的了！ 只需要注意这个?方法即可：</p>
                <figure class="highlight python">
                  <table>
                    <tr>
                      <td class="gutter">
                        <pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br></pre>
                      </td>
                      <td class="code">
                        <pre><span class="line"><span class="function"><span class="keyword">def</span> <span class="title">request_seen</span><span class="params">(self, request)</span>:</span></span><br><span class="line">  <span class="string">"""Returns True if request was already seen.</span></span><br><span class="line"><span class="string"></span></span><br><span class="line"><span class="string">        Parameters</span></span><br><span class="line"><span class="string">        ----------</span></span><br><span class="line"><span class="string">        request : scrapy.http.Request</span></span><br><span class="line"><span class="string"></span></span><br><span class="line"><span class="string">        Returns</span></span><br><span class="line"><span class="string">        -------</span></span><br><span class="line"><span class="string">        bool</span></span><br><span class="line"><span class="string"></span></span><br><span class="line"><span class="string">        """</span></span><br><span class="line">  <span class="comment"># 通过self.request_fingerprint 会生一个sha1的指纹</span></span><br><span class="line">  fp = self.request_fingerprint(request)</span><br><span class="line">  <span class="comment"># This returns the number of values added, zero if already exists.</span></span><br><span class="line">  <span class="comment"># 添加进一个Redis集合如果self.key这个集合中存在fp这个指纹会返回1  不存在返回0</span></span><br><span class="line">  added = self.server.sadd(self.key, fp)</span><br><span class="line">  <span class="keyword">return</span> added == <span class="number">0</span></span><br></pre>
                      </td>
                    </tr>
                  </table>
                </figure>
                <pre><code>这样大家就都可以访问同一个Redis 获取同一个spider的Request 在同一个位置去重，就不用担心重复啦 大概就像这样：
</code></pre>
                <ol>
                  <li>spider1：检查一下这个Request是否在Redis去重，如果在就证明其它的spider采集过啦！如果不在就添加进调度队列，等待别 人获取。自己继续干活抓取网页 产生新的Request了 重复之前步骤。</li>
                  <li>spider2：以相同的逻辑执行</li>
                </ol>
                <p>可能有些小伙儿会产生疑问了~~！spider2拿到了别人的Request了 怎么能正确的执行呢？逻辑不会错吗？ 这个不用担心啦 因为整Request当中包含了，所有的逻辑，回去看看上面那个序列化的字典。 总结一下：</p>
                <ol>
                  <li>1. Scrapy-Reids 就是将Scrapy原本在内存中处理的 调度(就是一个队列Queue)、去重、这两个操作通过Redis来实现</li>
                  <li>多个Scrapy在采集同一个站点时会使用相同的redis key（可以理解为队列）添加Request 获取Request 去重Request，这样所有的spider不会进行重复采集。效率自然就嗖嗖的上去了。</li>
                  <li>3. Redis是原子性的，好处不言而喻(一个Request要么被处理 要么没被处理，不存在第三可能)</li>
                </ol>
                <p>另外Scrapy-Redis本身不支持Redis-Cluster，大量网站去重的话会给单机很大的压力（就算使用boolfilter 内存也不够整啊！） 改造方式很简单：</p>
                <ol>
                  <li>使用 <strong><strong>rediscluster</strong></strong> 这个包替换掉本身的Redis连接</li>
                  <li>Redis-Cluster 不支持事务，可以使用lua脚本进行代替（lua脚本是原子性的哦）</li>
                  <li><strong><strong>注意使用lua脚本 不能写占用时间很长的操作</strong></strong>（毕竟一大群人等着操作Redis 你总不能让人家等着吧）</li>
                </ol>
                <p>以上！完毕 对于懒人小伙伴儿 看看这个我改好的: <a href="https://github.com/thsheep/scrapy_redis_cluster" target="_blank" rel="noopener">集群版Scrapy-Redis</a> <strong><strong>PS: 支持Python3.6+ 哦 ！ 其余的版本没测试过</strong></strong> <img src="https://thsheep-wordpress.oss-cn-beijing.aliyuncs.com/4a99cdf73bef5f5aaaa4ec9f61b8d838.jpg" alt=""></p>
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10px;">pywin32</a> <a href="/tags/style/" style="font-size: 10px;">style</a> <a href="/tags/tomcat/" style="font-size: 10px;">tomcat</a> <a href="/tags/ubuntu/" style="font-size: 10px;">ubuntu</a> <a href="/tags/uwsgi/" style="font-size: 10px;">uwsgi</a> <a href="/tags/vsftpd/" style="font-size: 10px;">vsftpd</a> <a href="/tags/wamp/" style="font-size: 10px;">wamp</a> <a href="/tags/wineQQ/" style="font-size: 10px;">wineQQ</a> <a href="/tags/%E4%B8%83%E7%89%9B/" style="font-size: 11.25px;">七牛</a> <a href="/tags/%E4%B8%8A%E6%B5%B7/" style="font-size: 10px;">上海</a> <a href="/tags/%E4%B8%AA%E4%BA%BA%E7%BD%91%E7%AB%99/" style="font-size: 10px;">个人网站</a> <a href="/tags/%E4%B8%BB%E9%A2%98/" style="font-size: 10px;">主题</a> <a href="/tags/%E4%BA%91%E4%BA%A7%E5%93%81/" style="font-size: 10px;">云产品</a> <a href="/tags/%E4%BA%91%E5%AD%98%E5%82%A8/" style="font-size: 10px;">云存储</a> <a href="/tags/%E4%BA%AC%E4%B8%9C%E4%BA%91/" style="font-size: 10px;">京东云</a> <a 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style="font-size: 10px;">暗时间</a> <a href="/tags/%E6%9D%9C%E5%85%B0%E7%89%B9/" style="font-size: 11.25px;">杜兰特</a> <a href="/tags/%E6%A1%8C%E9%9D%A2/" style="font-size: 10px;">桌面</a> <a href="/tags/%E6%AD%8C%E5%8D%95/" style="font-size: 10px;">歌单</a> <a href="/tags/%E6%B1%9F%E5%8D%97/" style="font-size: 10px;">江南</a> <a href="/tags/%E6%B8%B8%E6%88%8F/" style="font-size: 10px;">游戏</a> <a href="/tags/%E7%84%A6%E8%99%91/" style="font-size: 10px;">焦虑</a> <a href="/tags/%E7%88%AC%E8%99%AB/" style="font-size: 16.25px;">爬虫</a> <a href="/tags/%E7%88%AC%E8%99%AB%E4%B9%A6%E7%B1%8D/" style="font-size: 11.25px;">爬虫书籍</a> <a href="/tags/%E7%8E%AF%E5%A2%83%E5%8F%98%E9%87%8F/" style="font-size: 10px;">环境变量</a> <a href="/tags/%E7%94%9F%E6%B4%BB%E7%AC%94%E8%AE%B0/" style="font-size: 10px;">生活笔记</a> <a href="/tags/%E7%99%BB%E5%BD%95/" style="font-size: 10px;">登录</a> <a href="/tags/%E7%9F%A5%E4%B9%8E/" style="font-size: 10px;">知乎</a> <a href="/tags/%E7%9F%AD%E4%BF%A1/" style="font-size: 10px;">短信</a> <a 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